Triple
T1020455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | loanDepot park |
E22026
|
entity |
| Predicate | generalContractor |
P7138
|
FINISHED |
| Object |
Hunt/Moss
Hunt/Moss is a construction joint venture known for serving as the general contractor on major projects such as Miami’s loanDepot park baseball stadium.
|
E121698
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hunt/Moss | Statement: [loanDepot park, generalContractor, Hunt/Moss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hunt/Moss Context triple: [loanDepot park, generalContractor, Hunt/Moss]
-
A.
Hunt
Hunt is a common English surname borne by numerous notable figures across fields such as architecture, politics, sports, and the arts.
-
B.
The Hunt
The Hunt is a BBC nature documentary series that explores the dramatic strategies predators and prey use to survive in the wild.
-
C.
Hunter Hunt
Hunter Hunt is a personal name that may refer to multiple individuals, rather than a single widely recognized public figure.
-
D.
The Bushnell
The Bushnell is a prominent performing arts center in Hartford, Connecticut, known for hosting Broadway tours, concerts, and major cultural events.
-
E.
Murphy
Murphy is a common Irish-origin surname borne by numerous notable individuals across entertainment, politics, sports, and other fields.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hunt/Moss Triple: [loanDepot park, generalContractor, Hunt/Moss]
Generated description
Hunt/Moss is a construction joint venture known for serving as the general contractor on major projects such as Miami’s loanDepot park baseball stadium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hunt/Moss Target entity description: Hunt/Moss is a construction joint venture known for serving as the general contractor on major projects such as Miami’s loanDepot park baseball stadium.
-
A.
Hunt
Hunt is a common English surname borne by numerous notable figures across fields such as architecture, politics, sports, and the arts.
-
B.
The Hunt
The Hunt is a BBC nature documentary series that explores the dramatic strategies predators and prey use to survive in the wild.
-
C.
The Bushnell
The Bushnell is a prominent performing arts center in Hartford, Connecticut, known for hosting Broadway tours, concerts, and major cultural events.
-
D.
Murphy
Murphy is a common Irish-origin surname borne by numerous notable individuals across entertainment, politics, sports, and other fields.
-
E.
Callahan
Callahan is a surname most notably associated with American singer-songwriter Bill Callahan, known for his introspective and minimalist folk music.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7dd76b081909ed4d2f7adb6480d |
completed | March 1, 2026, 10:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bb63f14819098f5e32af3b98508 |
completed | March 7, 2026, 2:52 p.m. |
| NEDg | Description generation | batch_69ac3de4fbb88190855cf92af51fe70b |
completed | March 7, 2026, 3:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3e45d9e88190bc88d037c00c3ecc |
completed | March 7, 2026, 3:03 p.m. |
Created at: March 1, 2026, 7:41 p.m.